People are leaving this phone service in droves, but are you surprised? - Related to you, poll, droves,, service, hits
GPU shortage hits OpenAI, delays rollout of ChatGPT-4.5

OpenAI has had to stagger the release of its new [website] model because it is out of GPU (Graphics Processing Units) chips. These are used to train models, process large amounts of data, and perform complex calculations. If you're wondering why CPU (Central Processing Unit) chips aren't used, the answer is pretty easy to understand. GPUs process data simultaneously which is more suitable for AI's matrix operations than the sequential processing used by CPUs.
In a tweet posted by OpenAI CEO Sam Altman , he says that the calvary is on the way. Actually, what Altman mentioned was that hundreds of thousands of GPU chips are coming soon, and he probably will use each one fairly quickly. The new model has been available only to those willing to shell out $200 per month for the Pro version of ChatGPT. Once the new GPUs are obtained, ChatGPT Plus customers paying $20 per month will also get the benefits of using the new model.
Running over to Walmart to pick up some more GPUs, similar to how you and I refresh our printer ink when we're out, is not a possibility here. This is why OpenAI is looking at developing its own chips which would leave it less vulnerable to fluctuating inventory levels at NVIDIA.
Discussing the new [website] model in his tweet, Altman points out that it is not a reasoning model and won't set new benchmark records. He goes on to say that as far as [website] is concerned, "it’s a different kind of intelligence and there’s a magic to it i haven’t felt before. really excited for people to try it!"
Altman does warn that [website] is "a giant expensive model" that costs $75 per million input tokens and $150 per million output tokens. By comparison, GPT-4o only costs $[website] per million input tokens and $10 per million output tokens. A token is a unit of text that can be a single letter, a single word, or even punctuation. Large Language Models (LLM) break down text into tokens before processing it. Compare the costs of [website] to that of GPT-4o which costs a much less pricey $[website] per million input tokens and $10 per million output tokens.
If you're wondering how NVIDIA became a Wall Street darling rising an incredible 1,[website] over the last five years, this is your answer. Nothing is hotter on that street we call Wall than AI and demand for NVIDIA's flagship chips have been growing throughout the last few years.
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Sony rolt een grote enhancement uit voor de Sony Xperia 10 VI. De smartphone wordt bijgewerkt met de enhancement naar Android 15. Eerder werden verschillende sm......
People are leaving this phone service in droves, but are you surprised?

This particular omission is particularly puzzling to individuals who are aware of how relentlessly Google pushed Apple to adopt RCS into its Messages app. Yet, the firm has failed so far to add it into one of their own services. This creates a sense of disconnect, especially for individuals who rely on these aspects for efficient communication. Group messaging, another area where Google Voice falls short, is crucial for many, and its limitations are a source of frustration.
Beyond specific elements, there's a broader concern about the service's future. The perception that Google Voice is neglected raises questions about its reliability. Instances of missed messages and synchronization issues erode user trust, making them hesitant to depend on the service for critical communication. Beyond specific elements, there's a broader concern about the service's future. The perception that Google Voice is neglected raises questions about its reliability. Instances of missed messages and synchronization issues erode user trust, making them hesitant to depend on the service for critical communication.
It should be noted that Google Voice is not carrier-based, and it being a free app is a huge draw for those that are looking for a secondary phone number they can give out for their business or personal purposes. One user perfectly explained this scenario like this:
However, for some, the drawbacks are just too great to ignore. One user named the below reasons in a reddit post:
The departure of many people from Google Voice reflects a wider trend: the expectation for constant innovation and improvement in digital services. In a world where tech is constantly evolving, services that fail to adapt risk becoming obsolete. The frustrations expressed by Google Voice people highlight the importance of that. For many, the decision to leave is driven by a desire for a more reliable and feature-rich texting experience.
Welcome to episode 43 of Pixelated, a podcast by 9to5Google. This week, we talk about the Chromecast going out of stock and the future of Gemini smart......
I’ve been wearing a OnePlus Watch 3 for a little over a week. So far, it’s been great. The [website] AMOLED display loo......
Just got a new Chromebook? Setting it up the right way will improve its speed, security, and usability. If you’re using ChromeOS for the first time, f......
Weekly poll results: the Apple iPhone 16e is way overpriced

Apple, as the only maker of iOS phones out there, is responsible for providing entry-level models. Apple, a firm that sees itself as a maker of premium products, has a hard time doing that. And the Apple iPhone 16e is a really bad entry-level model.
Before we get to its qualities as a phone, however, we have to address the elephant in the room – its price. At $600/€700/£600/₹60,000, this is well above the $400/$430 starting price of the last two generations of iPhone SE, even if it has double the storage (it’s still 128GB, not a massive amount).
For a whopping 39% of voters in last week’s poll, the price makes the 16e an absolute non-starter. And that percentage is if we don’t exclude the people who just aren’t interested in any iPhone – without them, the “it’s too pricey” vote would score even higher.
But if you do want an iPhone, going for a vanilla iPhone 15 or 16 seems to be the preferred option. Some in the comments mentioned that the iPhone 17 will finally offer 120Hz refresh rate on a vanilla iPhone and AoD. That’s the expectation for this generation. It should also be noted that once the 17 series arrives, the iPhone 16 should drop to $700, taking the place where the iPhone 15 sits today. There isn’t much between those two, but the 16 supports Apple Intelligence (if you care about that), faster MagSafe and improved battery life (15:42h Active use score vs. 13:20h).
People in the comments were lamenting the loss of the iPhone mini – once upon a time, there was a belief that the fourth iPhone SE would be based on the mini instead of adopting an iPhone 14-like design. Even the third SE was smaller and lighter than the iPhone 16e, except it is now gone, leaving fans of small iPhones with nowhere to go. That was a problem only for a minority (just over 2% of the vote), but still.
As for the phone itself, selling a device with a 60Hz display and a single camera in 2025 is an iffy proposition at any price – at $600 it’s just confusing. Now if that price were to drop, the 16e could be worth a second look. For now, though, it looks like most people will be skipping it in favor of other devices.
PhoneArena readers know that a change to [website] export rules made in 2020 prevents chip foundries that use American technology to produce chips from shi......
The Oppo Reno13 comes with a handful of upgrades this year, some resulting in measurable improvements in battery life.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
7.3% | 8.8% | 9.3% | 10.3% | 10.8% | 11.2% | 11.3% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
10.6% | 10.8% | 11.1% | 11.3% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Smartphones | 42% | 8.7% |
Mobile Applications | 26% | 14.5% |
Mobile Infrastructure | 17% | 12.8% |
Wearables | 11% | 18.9% |
Other Mobile Tech | 4% | 9.4% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Apple | 24.3% |
Samsung | 22.7% |
Huawei | 14.2% |
Xiaomi | 11.8% |
Google Pixel | 5.4% |
Future Outlook and Predictions
The Shortage Hits Openai landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the mobile tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing mobile tech challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of mobile tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.